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---
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license: mit
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library_name: peft
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tags:
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- trl
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- sft
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- generated_from_trainer
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base_model: microsoft/Phi-3-mini-4k-instruct
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model-index:
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- name: phi3mini_4k_i_RE_QA_alpha8_r_8
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# phi3mini_4k_i_RE_QA_alpha8_r_8 |
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This model is a fine-tuned version of [microsoft/Phi-3-mini-4k-instruct](https://huggingface.co/microsoft/Phi-3-mini-4k-instruct) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.4399 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 0.0001 |
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- train_batch_size: 32 |
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- eval_batch_size: 32 |
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- seed: 42 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 128 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- lr_scheduler_warmup_ratio: 0.1 |
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- num_epochs: 1 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:------:|:----:|:---------------:| |
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| 1.7043 | 0.1187 | 100 | 0.5258 | |
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| 0.5348 | 0.2374 | 200 | 0.4702 | |
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| 0.5086 | 0.3561 | 300 | 0.4555 | |
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| 0.4973 | 0.4748 | 400 | 0.4484 | |
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| 0.4909 | 0.5935 | 500 | 0.4446 | |
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| 0.4842 | 0.7122 | 600 | 0.4419 | |
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| 0.4802 | 0.8309 | 700 | 0.4406 | |
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| 0.4797 | 0.9496 | 800 | 0.4399 | |
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### Framework versions |
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- PEFT 0.11.1 |
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- Transformers 4.41.2 |
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- Pytorch 2.2.1 |
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- Datasets 2.19.2 |
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- Tokenizers 0.19.1 |
